Non-growing season vegetation coverage remote sensing estimation method

Abstract

The invention discloses a non-growing season vegetation coverage remote sensing estimation method which comprises the following steps: acquiring remote sensing data of a research area in a non-growingseason, and acquiring the reflectivity of all pixels in the research area in a short-wave infrared band based on the remote sensing data; respectively selecting a plurality of vegetation pure pixelsand bare soil pure pixels based on the remote sensing data of the research area in the non-growing season, respectively calculating the average reflectivity of the vegetation pure pixels and the baresoil pure pixels in the short-wave infrared band, and calculating the vegetation indexes of the vegetation pure pixels and the bare soil pure pixels of the research area in the non-growing season based on the average reflectivity; and calculating the vegetation indexes of all the pixels in the research area in the non-growing season, and calculating the vegetation coverage of all the pixels in theresearch area in the non-growing season based on the vegetation indexes of the vegetation pure pixels and the vegetation indexes of the bare soil pure pixels. According to the method, the vegetationcoverage of all the pixels in a research area in non-growing seasons can be quickly and accurately calculated, and the method is not limited by time and space scales.

Description

technical field [0001] The invention relates to the technical field of remote sensing applications, in particular to a remote sensing estimation method for vegetation coverage in non-growing seasons. Background technique [0002] Non-growing season vegetation is an important forage resource for livestock to feed on, and it is of great significance in terrestrial ecosystems. Vegetation in the non-growing season is not only an indispensable key link in the material cycle, energy flow and information transmission process of the vegetation ecosystem, but also plays an extremely important role in inhibiting soil erosion, conserving water sources, and promoting soil development. [0003] The traditional method of obtaining vegetation coverage in the non-growing season is field sampling, but it is only suitable for small-scale research, which is time-consuming, laborious, and has great limitations. The development of remote sensing technology provides new technical means for the e...

AI Technical Summary

Problems solved by technology

In addition, these regression models have limitations in time and space, and cannot be extended and applied in different time and space scales, which seriously restricts the development of remote sensing estimation of vegetation coverage in non-growing seasons in large areas.

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